ML Engineer at Signos

At Signos, we are dedicated to addressing the obesity epidemic by helping individuals build healthier habits through metabolic signals and artificial intelligence. Our platform utilizes continuous glucose monitors to transform personal metabolic data into specific, timely recommendations for exercise and nutrition. Because more than 75% of the American population struggles with weight, we provide a unique, data-driven approach that empowers users to understand their body's specific responses to food. By facilitating small, consistent changes to daily routines, we help our members improve their overall health and achieve sustainable weight loss. We are currently looking for a Senior ML Engineer to join our team in a full-time, remote capacity to help us scale these life-changing insights.

Key outcomes

• Research, develop, and deploy machine learning models into our production environment.
• Manage our model registry and advance our MLOps cycle to ensure end-to-end system reliability.
• Design and iterate on scalable ETL pipelines and maintain our ML Feature Store.
• Monitor the performance of our ML systems using effective, data-backed metrics.
• Analyze complex data patterns to create actionable insights for our members and internal teams.
• Build and maintain a library of data reports, notebooks, and data storytelling tools to communicate findings clearly.

Requirements

• Extensive experience in developing and deploying machine learning models within production environments.
• Strong proficiency in designing scalable and maintainable ETL pipelines.
• Proven ability to utilize MLOps tools and practices to manage model lifecycles.
• Advanced analytical capabilities with a focus on data visualization and data storytelling.
• Excellent communication skills and the ability to thrive in a collaborative, cross-functional team.
• Fluency in English.

Preferred qualifications

• Direct experience conducting experiments or running tests within the healthcare industry.
• Familiarity with industry-standard platforms such as Weights & Biases or TensorFlow Extended.

Compensation

We offer an annual base salary range of $120,000 to $155,000 USD. Final compensation is determined based on your unique experience and qualifications. Our benefits package includes:

• Comprehensive medical, dental, and vision insurance coverage.
• A 401(k) retirement plan.
• Two fully-covered company retreats each year.
• Full access to the Signos system, including our app and continuous glucose monitoring technology.
• A MacBook Pro for your professional use.
• A flexible vacation policy and the ability to work entirely remotely.

How to apply

We invite you to submit your application for this position by the end of the business day on January 31, 2025. We look forward to reviewing your background and discussing how you can contribute to our mission.